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One of the most important innovative concepts is the credit scoring. Today it can be interested in different sectors. Thus the improvement of credit scoring is increasing day by day as a strongest part of Risk Assessment Management. The credit scoring with the help of classification techniques provides to take easy and quick decisions in lending. However, no definite consensus has been reached with regard to the best method for credit scoring and in what conditions the methods performs best. Although a huge range of classification techniques has been used in this area, the logistic regression has been seen an important tool and used very widely in studies. This research aims to examine accuracy and bias properties in parameter estimation of the logistic regression,linear discriminant analysis, linear regression by using German Data which has different variables, data types, real basement and accurately results. Moreover, application of these significant statistical analyzes on German data is provided and the method accuracies are examine for new consumer elements by the software application. Finally, the book is the best display of this method for ratings based on the results ever.
Investors typically face problems when they are in position of deciding on capital investments to be undertaken. Problems they face are related primarily with evaluation of the project, and secondarily with risk related to the project that is supposed to be undertaken. This book introduces methods of capital budgeting investment criteria, in order to choose the best project, by applying some of the risk management methods that are offered. At the very end of the book, practical examples of capital investment and risk management are presented, on a case done on legislative regulations on minimum standards of risk management in commercial banks.
A comprehensive guide to the key investment decisions all investors must make and how to manage the risk that entails Since all investors seek maximize returns balanced against acceptable risks, successful investment management is all about successful risk management. Strategic Risk Management uses that reality as a starting point, showing investors how to make risk management a process rather than just another tool in the investor's kit. The book highlights and explains primary investment risks and shows readers how to manage them across the key areas of any fund, including investment objectives, asset allocation, asset class strategy, and manager selection. With a strong focus on risk management at the time of asset allocation and at the time of implementation, the book offers important guidance for managers of benefit plans, endowments, defined contribution schemes, and family trusts. Offers a thorough examination of the role of risk management in the decision-making process for asset allocation, manager selection, and other duties of fund managers Written by the current head of portfolio design for the New Zealand Superannuation Fund Addresses the fundamental importance of risk management in today's post-crisis fund management landscape Strategic Risk Management is a comprehensive and easy-to-read guide that identifies the primary risks investors face and reveals how best to manage them.
Constant exercise of contaminated water in irrigation has increased threat of toxic metals in soil that eventually caused phytotoxicity in plants. Among the heavy metals, accumulation of arsenic (As) in soil and water has increased potential agricultural and environmental hazards worldwide, and has been a serious problem for safe food production. Keeping in view the significance of wheat (Triticum aestivum L.) in Pakistan, the present work was designed to access phytotoxicity, accumulation and distribution of arsenate in seed and seedling of plant. Study also focused on arsenate management from aqueous solution by utilizing low cost and environment friendly agricultural wastes adsorbents. This book is mainly helpful for plant pathologists, environmentalists, wheat growers and breeders.
Shipping plays an important role in the world’s economic development and has always been characterized as a relatively risky business. With an increasing awareness of environmental protection and safety issues, research into maritime risk assessment has become a major factor for marine companies when making their operating decisions, and is therefore an important research domain. It is found that the traditional and simplest way to estimate the probability of maritime accidents is to consider accident statistics or expert estimation. However, both of these methods have certain limitations. This book is based on the safety performance of global vessels and has found various risk indicators that can be used to indicate the probability of an accident. An innovative approach toward integrating logistic regression and a Bayesian Network together into risk assessment was presented. This approach has been developed and applied to a case study in the maritime industry. It can apply to other industries as well. Finally, a case study applying this risk assessment approach in the port state control program is presented.
The most popular carbon credit used as the offset is the Certified Emission Reductions (CERs) which is the carbon credit generated from the Clean Development Mechanism (CDM) project activity. This thesis examines how to manage risk in the CDM market. Three categories of risks were found: 1) compliance risk; 2) non-creation risk; 3) volume risk. The top-down approach was applied to assess the risks by using the global CDM pipeline data as an input. In the end, the statistically analysis provides the result of assessment from each type of risk. The results show that project type and location have high correlation to the risks. On average, most projects have the volatility of the performance around 25%-40%. To manage risk efficiently, an investor should apply risk factors to discount the expected number of CERs to reflect an individual risk profile of the project. Buying an option or insurance could also help to mitigate and hedge an unforeseen incident to the project.
This work has the goal to provide a risk management procedure in order to improve fire protection of Valuable Contents in Historical Heritage Buildings. The core of the procedure is structured in two parts: Risk Assessment and Risk Treatment. In Risk Assessment phase, by means of a risk analysis and evaluation method, we want to point out which are the weak points in contents’ protection due both to building features and to management strategies. In Risk Treatment phase is proposed a method to choose the best set of mitigation measures to reduce risk for Valuable Contents. The procedure suggests to the user sets of coherent actions to reduce specific risks by means of managerial strategies and interventions on the building. The procedure could be useful for insurance risk managers, fire engineers and managers of historical buildings that have responsibility for the Valuable Contents.
MOCRA (Method of Construction Risk Assessment) is an author’s original method that is used to a comprehensive risk analysis in construction projects. MOCRA can be described as a hybrid method. Unlike other methods, MOCRA allows its user to allocate risks in the material-financial plans. This substantially increases its utilitarian value because it gives a project manager or a direct contractor the possibility to evaluate the consequences of risk factors occurrence. These consequences relate to time and cost. They are visible for both sub-operations and for the entire project. Using MOCRA it is possible to count time and cost contingency for the project and verify the effectiveness of risk assessment. MOCRA method includes the following novelty elements: 1. Idea of a comprehensive risk assessment 2. Division of risk factors into the ones correlated with cost and the correlated with time. 3. Correlation of risk factors with specific operations in the schedule. 4. Idea of risk allocation in the material-financial plan 5. Validity coefficient of risk assessment. 6. Ability to modify the identification and quantification of risk factors in reference to the validity assessment.
Not kill yourselves God is Most Merciful to you. Suicidality is undoubtedly a pressing clinical issue. It represents a significant public health problem worldwide. Suicide is a complex dilemma that threatens the major investment of any nation, which has many contributing factors to be studied aiming at preventing it primarily.Effective treatment of suicidal behavior can potentially save an individual's life; therefore, this study was conducted to assess the suicidality risk factors and its management.
Capital adequacy requirements are the rules that help bank supervisors determine whether banks hold sufficient capital at all times to meet unexpected losses. The banking industry had moved ahead with its risk assessment technique, economic capital models and risk based pricing. The turmoil in banking industry has provided an opportunity to examine the robustness of risk assessment techniques and economic capital models.This book provides a good understanding of the reasons behind bank failures, risk assessment techniques, economic capital models and risk based pricing that reduce the risk of future failures. The importance of risk management of commercial banks in terms of capital measurement has been emphasized throughout.The prime objective of the book is the measurement of capital of the unexpected loss for risk management of the commercial banks in order to prevent insolvency. It provides technique to quantify capital for holding on economic basis.
Purchasing and supply management are widely acknowledged as strategic for companies. To make a prudent supplier selection decision, it is important to plan for uncertainty to mitigate risk. The study aims to address the risk which originates at the suppliers end. In this book the focus is on categorization and prioritization of the risk elements and addressing a supplier selection problem with the risk elements under consideration.
Lev Dynkin Quantitative Credit Portfolio Management. Practical Innovations for Measuring and Controlling Liquidity, Spread, and Issuer Concentration Risk
An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds—spread, liquidity, and Treasury yield curve risk—as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.
A practitioner's guide to ex-post performance measurement techniques Risk within asset management firms has an undeserved reputation for being an overly complex, mathematical subject. This book simplifies the subject and demonstrates with practical examples that risk is perfectly straightforward and not as complicated as it might seem. Unlike most books written on portfolio risk, which generally focus on ex-ante risk from an academic perspective using complicated language and no worked examples, this book focuses on ex-post risk from a buy side, asset management, risk practitioners perspective, including a number of practical worked examples for risk measures and their interpretation.